Literature DB >> 7998494

Meningiomas: correlation between MRI characteristics and operative findings including consistency.

Y Suzuki1, T Sugimoto, M Shibuya, K Sugita, S J Patel.   

Abstract

The findings on magnetic resonance imaging (MRI) in 73 surgically verified intracranial meningiomas were correlated with their histology and consistency during resection. T 1-weighted imaging was least useful since most of the tumours were iso-intense, similar to cortical grey matter regardless of histology or tumour consistency. The signal intensity on T2-weighted images was found to best correlate with both the histology and consistency of the meningioma. Generally, the low intensity portion of the tumour on T2-weighted images indicated a more fibrous and harder character, while the higher intensity portions indicated a more soft character. Most of the fibroblastic meningiomas showed the features of a hard tumour while angioblastic tumours showed the features of soft tumours. Tumours predicted to be harder on MR imaging generally took longer to resect than softer ones, and this relationship was shown best for the larger tumours. Using linear regression analysis, it appears that operative time for soft tumours is more affected by factors other than tumour consistency. Blood loss during surgery was also unrelated to the consistency of the tumour. These results suggest that the histology and consistency of meningiomas may be predictable from findings on T2-weighted imaging, and this may also predict the difficulty and time required for resection.

Entities:  

Mesh:

Year:  1994        PMID: 7998494     DOI: 10.1007/BF01400871

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  12 in total

1.  HEMORRHAGE INTO MENINGIOMAS.

Authors:  A GORAN; V J CIMENELLO; R G FISHER
Journal:  Arch Neurol       Date:  1965-07

2.  MR characteristics of meningioma subtypes at 1.5 tesla.

Authors:  R D Kaplan; S Coons; B P Drayer; C R Bird; P C Johnson
Journal:  J Comput Assist Tomogr       Date:  1992 May-Jun       Impact factor: 1.826

3.  Meningiomas: MR and histopathologic features.

Authors:  A D Elster; V R Challa; T H Gilbert; D N Richardson; J C Contento
Journal:  Radiology       Date:  1989-03       Impact factor: 11.105

4.  Magnetic resonance imaging of meningiomas.

Authors:  R D Zimmerman; C A Fleming; L A Saint-Louis; B C Lee; J J Manning; M D Deck
Journal:  AJNR Am J Neuroradiol       Date:  1985 Mar-Apr       Impact factor: 3.825

5.  Subarachnoid hemorrhage from an intracranial meningioma.

Authors:  J P Latchaw; D F Dohn; J F Hahn; E von der Luft
Journal:  Neurosurgery       Date:  1981-10       Impact factor: 4.654

6.  Meningiomas causing spontaneous intracranial hematomas.

Authors:  L M Modesti; E F Binet; G H Collins
Journal:  J Neurosurg       Date:  1976-10       Impact factor: 5.115

7.  MR imaging of meningiomas including studies with and without gadolinium-DTPA.

Authors:  G M Bydder; D P Kingsley; J Brown; H P Niendorf; I R Young
Journal:  J Comput Assist Tomogr       Date:  1985 Jul-Aug       Impact factor: 1.826

8.  Intracranial meningiomas: correlation between MR imaging and histology in fifty patients.

Authors:  P Demaerel; G Wilms; M Lammens; G Marchal; C Plets; J Goffin; A L Baert
Journal:  J Comput Assist Tomogr       Date:  1991 Jan-Feb       Impact factor: 1.826

9.  Atypical computed tomography features of intracranial meningioma: radiological-pathological correlation in a series of 131 consecutive cases.

Authors:  E J Russell; A E George; I I Kricheff; G Budzilovich
Journal:  Radiology       Date:  1980-06       Impact factor: 11.105

10.  Acute intracranial hemorrhage: intensity changes on sequential MR scans at 0.5 T.

Authors:  R D Zimmerman; L A Heier; R B Snow; D P Liu; A B Kelly; M D Deck
Journal:  AJR Am J Roentgenol       Date:  1988-03       Impact factor: 3.959

View more
  14 in total

1.  Low-field MR imaging of meningiomas including dynamic contrast enhancement study: evaluation of surgical and histopathologic characteristics.

Authors:  S K Yrjänä; H Tuominen; A Karttunen; N Lähdesluoma; E Heikkinen; J Koivukangas
Journal:  AJNR Am J Neuroradiol       Date:  2006 Nov-Dec       Impact factor: 3.825

2.  Brain surface motion imaging to predict adhesions between meningiomas and the brain surface.

Authors:  Toshiaki Taoka; Syuichi Yamada; Yuya Yamatani; Toshiaki Akashi; Toshiteru Miyasaka; Tomoko Emura; Hiroyuki Nakase; Kimihiko Kichikawa
Journal:  Neuroradiology       Date:  2010-03-24       Impact factor: 2.804

3.  Intraparenchymal meningioma: an unusual radiologic and anatomic presentation of a meningioma. Case report.

Authors:  M Sanli; N Altínörs; O Demiralp
Journal:  Neurosurg Rev       Date:  1996       Impact factor: 3.042

Review 4.  Predicting Meningioma Consistency on Preoperative Neuroimaging Studies.

Authors:  Mark S Shiroishi; Steven Y Cen; Benita Tamrazi; Francesco D'Amore; Alexander Lerner; Kevin S King; Paul E Kim; Meng Law; Darryl H Hwang; Orest B Boyko; Chia-Shang J Liu
Journal:  Neurosurg Clin N Am       Date:  2016-02-18       Impact factor: 2.509

Review 5.  Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review.

Authors:  Amy Yao; Margaret Pain; Priti Balchandani; Raj K Shrivastava
Journal:  Neurosurg Rev       Date:  2016-11-21       Impact factor: 3.042

6.  Higher-Resolution Magnetic Resonance Elastography in Meningiomas to Determine Intratumoral Consistency.

Authors:  Joshua D Hughes; Nikoo Fattahi; J Van Gompel; Arvin Arani; Fredric Meyer; Giuseppe Lanzino; Michael J Link; Richard Ehman; John Huston
Journal:  Neurosurgery       Date:  2015-10       Impact factor: 4.654

7.  Predicting Consistency of Meningioma by Magnetic Resonance Imaging.

Authors:  Kyle A Smith; John D Leever; Roukoz B Chamoun
Journal:  J Neurol Surg B Skull Base       Date:  2015-01-21

Review 8.  MR elastography of the brain and its application in neurological diseases.

Authors:  Matthew C Murphy; John Huston; Richard L Ehman
Journal:  Neuroimage       Date:  2017-10-07       Impact factor: 6.556

9.  Preoperative assessment of meningioma stiffness using magnetic resonance elastography.

Authors:  Matthew C Murphy; John Huston; Kevin J Glaser; Armando Manduca; Fredric B Meyer; Giuseppe Lanzino; Jonathan M Morris; Joel P Felmlee; Richard L Ehman
Journal:  J Neurosurg       Date:  2012-10-19       Impact factor: 5.115

10.  Exploring the biomechanical properties of brain malignancies and their pathologic determinants in vivo with magnetic resonance elastography.

Authors:  Yann Jamin; Jessica K R Boult; Jin Li; Sergey Popov; Philippe Garteiser; Jose L Ulloa; Craig Cummings; Gary Box; Suzanne A Eccles; Chris Jones; John C Waterton; Jeffrey C Bamber; Ralph Sinkus; Simon P Robinson
Journal:  Cancer Res       Date:  2015-02-11       Impact factor: 12.701

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.